Abshocr-Fuzzy modeling of complex systems is a challenging topic. This paper proposes an effective approach to data-based fuzzy optimizing fuzzy system structure and parameters. For this purpose, we cope with fuzzy clustering based on inclusion concept where the rule-base bas to be simplified. This simplification occurs in the sense that similar Membership Functions (MF) pertaining to the premi...

Fuzzy set theory has been extensively applied to extend various database models and resulted in numerous contributions, mainly with respect to the popular relational model or to some related form of it. To satisfy the need of modeling complex objects with imprecision and uncertainty, recently many researches have been concentrated on fuzzy object-oriented database models. This paper reviews fuz...

In previous work (Nescolarde-Selva and Usó-Doménech, 2014a,b) discussed the theory that complex belief systems have a topological structure. In this paper it is suggested that this structure is also fuzzy. They introduce the concepts of fuzzy sets in the context of beliefs (substantive and derived) , and between derived beliefs themselves. Also introduced are the concepts of fuzzy covering, fuz...

Topological relationships between spatio-temporal objects are the most fundamental elements in spatio-temporal database systems, GIS, and image database systems. The research issue of modeling topological relationships has increasingly attracted attention, especially for querying of spatio-temporal objects and reasoning of topological relationships. Currently, topological relationship operating...

Operations Research, OR, and Management Science, MS, methodologies attempt to aid "human decision-making" for the improvement of various performance indecies in operation and control of complex "humanistic systems". A historical review of Zadeh's papers and fuzzy system applications reveal that OR, and MS applications were started early in the development of fuzzy systems, even before the adven...

| This paper investigates the possibilities for applications of genetic algorithms to tuning and optimizing fuzzy controllers, or even to generate fuzzy controllers automatically. There are various ad{hoc approaches to use genetic algorithms for the design of fuzzy controllers, which already indicated good results. However, there is a need for systematic techniques that take the properties of f...

This paper presents recent developments on fuzzy model-based control applied to complex processes. First, a brief description of the main steps in fuzzy modelbased control, i.e., the identification of the model and the design of the controller is presented. Recent research developed by the author is aggregated to present a complete approach based on fuzzy tools. Various problems encountered in ...

Fuzzy Description Logics (fuzzy DLs) allow to describe structured knowledge with vague concepts. Unlike classical DLs, in fuzzy DLs an answer is a set of tuples ranked according to the degree they satisfy the query. In this paper, we consider fuzzy DL-Lite. We show how to compute efficiently the top-k answers of a complex query (i.e. conjunctive queries) over a huge set of instances.

Fuzzy logic is a modeling method well suited for the control of complex and non-linear systems. This paper illustrates some of the power of fuzzy logic through a simple control example. For the analytical chemist, fuzzy logic incorporates imprecision from measurement noise as well as from linguistic process descriptions to produce operational control systems.

Modeling of human knowledge and reasoning requires the formulation of uncertainty in its various forms. Fuzzy logic was introduced to directly support these applications [4]. Fuzzy Control (FC) which is based on fuzzy logic allows to control complex systems based on qualitative information like human knowledge [4, 2]. In fuzzy logic, fuzzy sets are usually de ned and manipulated by the means of...